Search result for Courses in data science Online Courses & Certifications
Get Course Alerts by Email
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. The key goal in data wrangling is transforming non-tidy data into tidy data. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team....
Data Science and Machine Learning Capstone Project
by Sourav Mazumder , Linda Liu , Alex Aklson- 0.0
6 Weeks
Create a project that you can use to showcase your Data Science skills to prospective employers. By the end of this course, you will have used real world data science tools to create a showcase project and demonstrate to employers that you are job ready and a worthy candidate in the field of data science....
$149
Complete Data Science Training with Python for Data Analysis
by Minerva Singh- 4.2
13 hours on-demand video
Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning. Many courses use made-up data that does not empower students to implement Python-based data science in real life....
$9.99
Introduction to R Programming for Data Science
by Yan Luo- 4.8
Approx. 10 hours to complete
When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. Welcome to Introduction to R Programming for Data Science...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
Approx. 7 hours to complete
Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Then you have found the right course: Studying Cities: Social Science Methods for Urban Research by the Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam. Introduction to Studying Cities: Social Science Methods for Urban Research...
Big Data Capstone Project
by Nick Falkner , Gary Glonek , Lingqiao Liu , Gavin Meredith- 0.0
6 Weeks
Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project. The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project....
$249
Related searches
Business Statistics and Analysis Capstone
by Sharad Borle- 4.7
Approx. 7 hours to complete
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst....
Reproducible Research
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.6
Approx. 8 hours to complete
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. Structure of a Data Analysis (part 1) Course Book: Report Writing for Data Science in R...
Complete Python Based Image Processing and Computer Vision
by Minerva Singh- 3.9
5.5 hours on-demand video
I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework. BUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:...
$9.99